Perspectives for remote sensing with unmanned aerial vehicles in precision agriculture

WH Maes, K Steppe - Trends in plant science, 2019 - cell.com
Remote sensing with unmanned aerial vehicles (UAVs) is a game-changer in precision
agriculture. It offers unprecedented spectral, spatial, and temporal resolution, but can also …

On the use of unmanned aerial systems for environmental monitoring

S Manfreda, MF McCabe, PE Miller, R Lucas… - Remote sensing, 2018 - mdpi.com
Environmental monitoring plays a central role in diagnosing climate and management
impacts on natural and agricultural systems; enhancing the understanding of hydrological …

A global analysis of the temporal availability of PlanetScope high spatial resolution multi-spectral imagery

DP Roy, H Huang, R Houborg, VS Martins - Remote Sensing of …, 2021 - Elsevier
Abstract The PlanetScope CubeSat constellation is providing unprecedented global
coverage, visible to near infrared, atmospherically corrected, 3 m imagery. The revisit …

Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future

W Jiao, L Wang, MF McCabe - Remote Sensing of Environment, 2021 - Elsevier
Satellite based remote sensing offers one of the few approaches able to monitor the spatial
and temporal development of regional to continental scale droughts. A unique element of …

A cubesat enabled spatio-temporal enhancement method (cestem) utilizing planet, landsat and modis data

R Houborg, MF McCabe - Remote Sensing of Environment, 2018 - Elsevier
Satellite sensing in the visible to near-infrared (VNIR) domain has been the backbone of
land surface monitoring and characterization for more than four decades. However, a …

How much water is used for irrigation? A new approach exploiting coarse resolution satellite soil moisture products

L Brocca, A Tarpanelli, P Filippucci, W Dorigo… - International journal of …, 2018 - Elsevier
Abstract Knowledge of irrigation is essential for ensuring food and water security, and to
cope with the scarcity of water resources, which is expected to exacerbate under the …

[HTML][HTML] Early season prediction of within-field crop yield variability by assimilating CubeSat data into a crop model

MG Ziliani, MU Altaf, B Aragon, R Houborg… - Agricultural and forest …, 2022 - Elsevier
Accurate early season predictions of crop yield at the within-field scale can be used to
address a range of crop production, management, and precision agricultural challenges …

Global climate

RJH Dunn, JB Miller, KM Willett… - Bulletin of the …, 2023 - journals.ametsoc.org
Global Climate is one chapter from the State of the Climate in 2022 annual report and is
available from https://doi. org/10.1175/BAMS-D-23-0090.1. Compiled by NOAA's National …

State of the Climate in 2017

J Blunden, G Hartfield, DS Arndt, RJH Dunn… - Bulletin of the American …, 2018 - JSTOR
In 2017, the dominant greenhouse gases released into Earth's atmosphere—carbon
dioxide, methane, and nitrous oxide—reached new record highs. The annual global …

Daily Retrieval of NDVI and LAI at 3 m Resolution via the Fusion of CubeSat, Landsat, and MODIS Data

R Houborg, MF McCabe - Remote Sensing, 2018 - mdpi.com
Constellations of CubeSats are emerging as a novel observational resource with the
potential to overcome the spatiotemporal constraints of conventional single-sensor satellite …